Split data into quantile buckets (e.g. terciles, quartiles, quantiles, deciles).
Source:R/variable_creation_functions.R
split_quantile.RdSurvey data is often presented in aggregated, depersonalized form, which
can involve binning underlying data into quantile buckets; for example,
rather than reporting underlying income, a survey might report income by
decile. split_quantile can automatically produce this split using any
data x and any number of splits `type.
Arguments
- x
A vector of any type that can be ordered -- i.e. numeric or factor where factor levels are ordered.
- type
The number of buckets to split data into. For a median split, enter 2; for terciles, enter 3; for quartiles, enter 4; for quintiles, 5; for deciles, 10.
Examples
# Divide this arbitrary data set in 3.
data_input <- rnorm(n = 100)
split_quantile(x = data_input, type = 3)
#> [1] 1 1 2 1 1 3 1 3 2 2 2 3 3 2 2 2 2 3 3 1 1 3 2 3 3 2 1 2 3 1 2 2 1 1 3 1 2
#> [38] 1 3 2 3 1 1 1 3 3 3 2 3 2 2 3 2 2 3 2 1 2 3 1 2 1 2 3 1 1 2 1 3 3 1 3 1 3
#> [75] 1 3 3 3 2 2 3 2 1 3 1 3 3 2 3 2 1 1 2 1 1 2 1 1 2 1
#> Levels: 1 2 3